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Social and Behavioral Sciences Commons™
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Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
Regulating New Tech: Problems, Pathways, And People, Cary Coglianese
Regulating New Tech: Problems, Pathways, And People, Cary Coglianese
All Faculty Scholarship
New technologies bring with them many promises, but also a series of new problems. Even though these problems are new, they are not unlike the types of problems that regulators have long addressed in other contexts. The lessons from regulation in the past can thus guide regulatory efforts today. Regulators must focus on understanding the problems they seek to address and the causal pathways that lead to these problems. Then they must undertake efforts to shape the behavior of those in industry so that private sector managers focus on their technologies’ problems and take actions to interrupt the causal pathways. …
Fair Play: Notes On The Algorithmic Soccer Referee, Michael J. Madison
Fair Play: Notes On The Algorithmic Soccer Referee, Michael J. Madison
Articles
The soccer referee stands in for a judge. Soccer’s Video Assistant Referee (“VAR”) system stands in for algorithms that augment human deciders. Fair play stands in for justice. They are combined and set in a polycentric system of governance, with implications for designing, administering, and assessing human-machine combinations.
The Uncanny Swipe Drive: The Return Of A Racist Mode Of Algorithmic Thought On Dating Apps, Gregory Narr
The Uncanny Swipe Drive: The Return Of A Racist Mode Of Algorithmic Thought On Dating Apps, Gregory Narr
Publications and Research
As algorithmic media amplify longstanding social oppression, they also seek to colonize every last bit of sociality where that oppression could be resisted. Swipe apps constitute prototypical examples of this dynamic. By employing protocols that foster absent-minded engagement, they allow unconscious racial preferences to be expressed without troubling users’ perceptions of themselves as non-racist. These preferences are then measured by recommender systems that treat “attractiveness” as a zero-sum game, allocate affective flows according to the winners and losers of those games, and ultimately amplify the salience of race as a factor of success for finding intimacy. In thus priming users …